{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1fa35264",
   "metadata": {},
   "source": [
    "Copyright (c) MONAI Consortium  \n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");  \n",
    "you may not use this file except in compliance with the License.  \n",
    "You may obtain a copy of the License at  \n",
    "&nbsp;&nbsp;&nbsp;&nbsp;http://www.apache.org/licenses/LICENSE-2.0  \n",
    "Unless required by applicable law or agreed to in writing, software  \n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,  \n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  \n",
    "See the License for the specific language governing permissions and  \n",
    "limitations under the License.\n",
    "\n",
    "# Vector Quantized Generative Adversarial Networks with MedNIST Dataset\n",
    "\n",
    "This tutorial illustrates how to use MONAI for training a Vector Quantized Generative Adversarial Network (VQGAN) on 2D images.\n",
    "\n",
    "\n",
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9ca87966",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[tqdm]\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4ed4352",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "62220d8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MONAI version: 1.4.0rc6\n",
      "Numpy version: 1.26.4\n",
      "Pytorch version: 2.3.1+cu121\n",
      "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n",
      "MONAI rev id: 6a0e1b043ba2890e1463fa49df76f66e56a68b08\n",
      "MONAI __file__: /home/<username>/miniconda3/envs/monai/lib/python3.11/site-packages/monai/__init__.py\n",
      "\n",
      "Optional dependencies:\n",
      "Pytorch Ignite version: 0.4.11\n",
      "ITK version: 5.4.0\n",
      "Nibabel version: 5.2.1\n",
      "scikit-image version: 0.23.2\n",
      "scipy version: 1.13.1\n",
      "Pillow version: 10.3.0\n",
      "Tensorboard version: 2.17.0\n",
      "gdown version: 5.2.0\n",
      "TorchVision version: 0.18.1+cu121\n",
      "tqdm version: 4.66.4\n",
      "lmdb version: 1.4.1\n",
      "psutil version: 5.9.0\n",
      "pandas version: 2.2.2\n",
      "einops version: 0.8.0\n",
      "transformers version: NOT INSTALLED or UNKNOWN VERSION.\n",
      "mlflow version: 2.14.0\n",
      "pynrrd version: 1.0.0\n",
      "clearml version: 1.16.2rc0\n",
      "\n",
      "For details about installing the optional dependencies, please visit:\n",
      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import shutil\n",
    "import tempfile\n",
    "import time\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "import torch\n",
    "from torch.nn import L1Loss\n",
    "\n",
    "from monai import transforms as mt\n",
    "from monai.apps import MedNISTDataset\n",
    "from monai.config import print_config\n",
    "from monai.data import CacheDataset, DataLoader\n",
    "from monai.utils import first, set_determinism, ensure_tuple\n",
    "from monai.losses import PatchAdversarialLoss, PerceptualLoss\n",
    "from monai.networks.nets import VQVAE, PatchDiscriminator\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad6acc85",
   "metadata": {},
   "source": [
    "## Setup data directory\n",
    "\n",
    "You can specify a directory with the MONAI_DATA_DIRECTORY environment variable.\n",
    "\n",
    "This allows you to save results and reuse downloads.\n",
    "\n",
    "If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a0235ef9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/tmp/tmp841jzn7l\n"
     ]
    }
   ],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cc643ee",
   "metadata": {},
   "source": [
    "## Set deterministic training for reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "10439b02",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_determinism(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d57842d2",
   "metadata": {},
   "source": [
    "## Setup MedNIST Dataset and training and validation dataloaders\n",
    "In this tutorial, we will train our models on the MedNIST dataset available on MONAI\n",
    "(https://docs.monai.io/en/stable/apps.html#monai.apps.MedNISTDataset). In order to train faster, we will select just\n",
    "one of the available classes (\"HeadCT\")."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "03753646",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-09-05 22:01:10,924 - INFO - Downloaded: /tmp/tmp841jzn7l/MedNIST.tar.gz\n",
      "2024-09-05 22:01:11,062 - INFO - Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n",
      "2024-09-05 22:01:11,063 - INFO - Writing into directory: /tmp/tmp841jzn7l.\n"
     ]
    }
   ],
   "source": [
    "train_data = MedNISTDataset(root_dir=root_dir, section=\"training\", download=True, progress=False, seed=0)\n",
    "train_datalist = [{\"image\": item[\"image\"]} for item in train_data.data if item[\"class_name\"] == \"HeadCT\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13c36566",
   "metadata": {},
   "source": [
    "Here we use transforms to augment the training dataset:\n",
    "\n",
    "1. `LoadImaged` loads the hands images from files.\n",
    "1. `EnsureChannelFirstd` ensures the original data to construct \"channel first\" shape.\n",
    "1. `ScaleIntensityRanged` extracts intensity range [0, 255] and scales to [0, 1].\n",
    "1. `RandAffined` efficiently performs rotate, scale, shear, translate, etc. together based on PyTorch affine transform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8937ef5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 7991/7991 [00:06<00:00, 1264.77it/s]\n"
     ]
    }
   ],
   "source": [
    "batch_size = 16\n",
    "\n",
    "train_transforms = mt.Compose(\n",
    "    [\n",
    "        mt.LoadImaged(keys=[\"image\"]),\n",
    "        mt.EnsureChannelFirstd(keys=[\"image\"]),\n",
    "        mt.ScaleIntensityRanged(keys=[\"image\"], a_min=0.0, a_max=255.0, b_min=0.0, b_max=1.0, clip=True),\n",
    "        mt.RandAffined(\n",
    "            keys=[\"image\"],\n",
    "            rotate_range=[(-np.pi / 36, np.pi / 36), (-np.pi / 36, np.pi / 36)],\n",
    "            translate_range=[(-1, 1), (-1, 1)],\n",
    "            scale_range=[(-0.05, 0.05), (-0.05, 0.05)],\n",
    "            spatial_size=[64, 64],\n",
    "            padding_mode=\"zeros\",\n",
    "            prob=0.5,\n",
    "        ),\n",
    "    ]\n",
    ")\n",
    "train_ds = CacheDataset(data=train_datalist, transform=train_transforms)\n",
    "train_loader = DataLoader(train_ds, batch_size=batch_size, shuffle=True, num_workers=4, persistent_workers=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5fdcc691",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-09-05 22:01:43,022 - INFO - Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n",
      "2024-09-05 22:01:43,023 - INFO - File exists: /tmp/tmp841jzn7l/MedNIST.tar.gz, skipped downloading.\n",
      "2024-09-05 22:01:43,025 - INFO - Non-empty folder exists in /tmp/tmp841jzn7l/MedNIST, skipped extracting.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 972/972 [00:00<00:00, 1342.56it/s]\n"
     ]
    }
   ],
   "source": [
    "val_data = MedNISTDataset(root_dir=root_dir, section=\"validation\", download=True, progress=False, seed=0)\n",
    "val_datalist = [{\"image\": item[\"image\"]} for item in val_data.data if item[\"class_name\"] == \"HeadCT\"]\n",
    "val_transforms = mt.Compose(\n",
    "    [\n",
    "        mt.LoadImaged(keys=[\"image\"]),\n",
    "        mt.EnsureChannelFirstd(keys=[\"image\"]),\n",
    "        mt.ScaleIntensityRanged(keys=[\"image\"], a_min=0.0, a_max=255.0, b_min=0.0, b_max=1.0, clip=True),\n",
    "    ]\n",
    ")\n",
    "val_ds = CacheDataset(data=val_datalist, transform=val_transforms)\n",
    "val_loader = DataLoader(val_ds, batch_size=batch_size, shuffle=False, num_workers=4, persistent_workers=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ad073d0",
   "metadata": {},
   "source": [
    "### Visualization of the training images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dcea1aa6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch shape: torch.Size([256, 1, 64, 64])\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "check_data = first(train_loader)\n",
    "print(f\"batch shape: {check_data['image'].shape}\")\n",
    "image_visualization = torch.cat(\n",
    "    [check_data[\"image\"][0, 0], check_data[\"image\"][1, 0], check_data[\"image\"][2, 0], check_data[\"image\"][3, 0]], dim=1\n",
    ")\n",
    "plt.figure(\"training images\", (12, 6))\n",
    "plt.imshow(image_visualization, vmin=0, vmax=1, cmap=\"gray\")\n",
    "plt.axis(\"off\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b37d378",
   "metadata": {},
   "source": [
    "### Define network, scheduler and optimizer\n",
    "At this step, we instantiate the MONAI components to create a VQVAE and a Discriminator model. We are using the\n",
    "Discriminator to train the Autoencoder with a Generative Adversarial loss, where the VQVAE works as a Generator.\n",
    "The VQVAE is trained to minimize the reconstruction error, a perceptual loss using AlexNet as the embedding model\n",
    "and an adversarial loss versus the performance of the Discriminator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d0495a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
      "Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.\n"
     ]
    }
   ],
   "source": [
    "device = torch.device(\"cuda\")\n",
    "\n",
    "model = VQVAE(\n",
    "    spatial_dims=2,\n",
    "    in_channels=1,\n",
    "    out_channels=1,\n",
    "    channels=(256, 512),\n",
    "    num_res_channels=512,\n",
    "    num_res_layers=2,\n",
    "    downsample_parameters=((2, 4, 1, 1), (2, 4, 1, 1)),\n",
    "    upsample_parameters=((2, 4, 1, 1, 0), (2, 4, 1, 1, 0)),\n",
    "    num_embeddings=256,\n",
    "    embedding_dim=32,\n",
    ").to(device)\n",
    "\n",
    "discriminator = PatchDiscriminator(spatial_dims=2, in_channels=1, num_layers_d=3, channels=64)\n",
    "discriminator.to(device)\n",
    "\n",
    "perceptual_loss = PerceptualLoss(spatial_dims=2, network_type=\"alex\")\n",
    "perceptual_loss.to(device)\n",
    "\n",
    "optimizer_g = torch.optim.Adam(params=model.parameters(), lr=1e-4)\n",
    "optimizer_d = torch.optim.Adam(params=discriminator.parameters(), lr=5e-4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "af25d880",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "l1_loss = L1Loss()\n",
    "adv_loss = PatchAdversarialLoss(criterion=\"least_squares\")\n",
    "adv_weight = 0.01\n",
    "perceptual_weight = 0.001"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3692e3e9",
   "metadata": {},
   "source": [
    "### Model training\n",
    "Here, we are training our model for 100 epochs (training time: ~50 minutes)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a12f8385",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 0: 100%|█████████████| 32/32 [00:24<00:00,  1.31it/s, recons_loss=0.146, gen_loss=1.34, disc_loss=0.573]\n",
      "Epoch 1: 100%|████████████| 32/32 [00:22<00:00,  1.43it/s, recons_loss=0.0735, gen_loss=0.736, disc_loss=0.33]\n",
      "Epoch 2: 100%|███████████| 32/32 [00:22<00:00,  1.42it/s, recons_loss=0.0514, gen_loss=0.686, disc_loss=0.312]\n",
      "...\n",
      "Epoch 97: 100%|██████████| 32/32 [00:22<00:00,  1.42it/s, recons_loss=0.0206, gen_loss=0.294, disc_loss=0.243]\n",
      "Epoch 98: 100%|██████████| 32/32 [00:22<00:00,  1.42it/s, recons_loss=0.0205, gen_loss=0.319, disc_loss=0.238]\n",
      "Epoch 99: 100%|██████████| 32/32 [00:22<00:00,  1.42it/s, recons_loss=0.0206, gen_loss=0.285, disc_loss=0.254]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train completed, total time: 2268.8532989025116.\n"
     ]
    }
   ],
   "source": [
    "max_epochs = 100\n",
    "val_interval = 10\n",
    "epoch_recon_loss_list = []\n",
    "epoch_gen_loss_list = []\n",
    "epoch_disc_loss_list = []\n",
    "val_recon_epoch_loss_list = []\n",
    "intermediary_images = []\n",
    "n_example_images = 4\n",
    "\n",
    "total_start = time.time()\n",
    "for epoch in range(max_epochs):\n",
    "    model.train()\n",
    "    discriminator.train()\n",
    "    epoch_loss = 0\n",
    "    gen_epoch_loss = 0\n",
    "    disc_epoch_loss = 0\n",
    "    progress_bar = tqdm(enumerate(train_loader), total=len(train_loader), ncols=110)\n",
    "    progress_bar.set_description(f\"Epoch {epoch}\")\n",
    "    for step, batch in progress_bar:\n",
    "        images = batch[\"image\"].to(device)\n",
    "        optimizer_g.zero_grad(set_to_none=True)\n",
    "\n",
    "        # Generator part\n",
    "        reconstruction, quantization_loss = model(images=images)\n",
    "        logits_fake = discriminator(reconstruction.contiguous().float())[-1]\n",
    "\n",
    "        recons_loss = l1_loss(reconstruction.float(), images.float())\n",
    "        p_loss = perceptual_loss(reconstruction.float(), images.float())\n",
    "        generator_loss = adv_loss(logits_fake, target_is_real=True, for_discriminator=False)\n",
    "        loss_g = recons_loss + quantization_loss + perceptual_weight * p_loss + adv_weight * generator_loss\n",
    "\n",
    "        loss_g.backward()\n",
    "        optimizer_g.step()\n",
    "\n",
    "        # Discriminator part\n",
    "        optimizer_d.zero_grad(set_to_none=True)\n",
    "\n",
    "        logits_fake = discriminator(reconstruction.contiguous().detach())[-1]\n",
    "        loss_d_fake = adv_loss(logits_fake, target_is_real=False, for_discriminator=True)\n",
    "        logits_real = discriminator(images.contiguous().detach())[-1]\n",
    "        loss_d_real = adv_loss(logits_real, target_is_real=True, for_discriminator=True)\n",
    "        discriminator_loss = (loss_d_fake + loss_d_real) * 0.5\n",
    "\n",
    "        loss_d = adv_weight * discriminator_loss\n",
    "\n",
    "        loss_d.backward()\n",
    "        optimizer_d.step()\n",
    "\n",
    "        epoch_loss += recons_loss.item()\n",
    "        gen_epoch_loss += generator_loss.item()\n",
    "        disc_epoch_loss += discriminator_loss.item()\n",
    "\n",
    "        progress_bar.set_postfix(\n",
    "            {\n",
    "                \"recons_loss\": epoch_loss / (step + 1),\n",
    "                \"gen_loss\": gen_epoch_loss / (step + 1),\n",
    "                \"disc_loss\": disc_epoch_loss / (step + 1),\n",
    "            }\n",
    "        )\n",
    "    epoch_recon_loss_list.append(epoch_loss / (step + 1))\n",
    "    epoch_gen_loss_list.append(gen_epoch_loss / (step + 1))\n",
    "    epoch_disc_loss_list.append(disc_epoch_loss / (step + 1))\n",
    "\n",
    "    if (epoch + 1) % val_interval == 0:\n",
    "        model.eval()\n",
    "        val_loss = 0\n",
    "        with torch.no_grad():\n",
    "            for val_step, batch in enumerate(val_loader, start=1):\n",
    "                images = batch[\"image\"].to(device)\n",
    "\n",
    "                reconstruction, quantization_loss = model(images=images)\n",
    "\n",
    "                # get the first sammple from the first validation batch for visualization\n",
    "                # purposes\n",
    "                if val_step == 1:\n",
    "                    intermediary_images.append(reconstruction[:n_example_images, 0])\n",
    "\n",
    "                recons_loss = l1_loss(reconstruction.float(), images.float())\n",
    "\n",
    "                val_loss += recons_loss.item()\n",
    "\n",
    "        val_loss /= val_step\n",
    "        val_recon_epoch_loss_list.append(val_loss)\n",
    "\n",
    "total_time = time.time() - total_start\n",
    "print(f\"train completed, total time: {total_time}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dd875b8",
   "metadata": {},
   "source": [
    "### Learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f06c0fc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(\"seaborn-v0_8\")\n",
    "plt.title(\"Learning Curves\", fontsize=20)\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_recon_loss_list, color=\"C0\", linewidth=2.0, label=\"Train\")\n",
    "plt.plot(\n",
    "    np.linspace(val_interval, max_epochs, int(max_epochs / val_interval)),\n",
    "    val_recon_epoch_loss_list,\n",
    "    color=\"C1\",\n",
    "    linewidth=2.0,\n",
    "    label=\"Validation\",\n",
    ")\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel(\"Epochs\", fontsize=16)\n",
    "plt.ylabel(\"Loss\", fontsize=16)\n",
    "plt.legend(prop={\"size\": 14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4d01492a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Adversarial Training Curves\", fontsize=20)\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_gen_loss_list, color=\"C0\", linewidth=2.0, label=\"Generator\")\n",
    "plt.plot(np.linspace(1, max_epochs, max_epochs), epoch_disc_loss_list, color=\"C1\", linewidth=2.0, label=\"Discriminator\")\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel(\"Epochs\", fontsize=16)\n",
    "plt.ylabel(\"Loss\", fontsize=16)\n",
    "plt.legend(prop={\"size\": 14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bfeecae",
   "metadata": {},
   "source": [
    "### Checking reconstructions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4cfbd6cd",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot first 4 evaluations\n",
    "val_samples = np.linspace(val_interval, max_epochs, int(max_epochs / val_interval))\n",
    "num_inters = min(len(intermediary_images), 4)\n",
    "fig, ax = plt.subplots(nrows=num_inters, ncols=1, sharey=True)\n",
    "ax = ensure_tuple(ax)\n",
    "\n",
    "for image_n in range(num_inters):\n",
    "    reconstructions = torch.reshape(intermediary_images[image_n], (64 * n_example_images, 64)).T\n",
    "    ax[image_n].imshow(reconstructions.cpu(), cmap=\"gray\")\n",
    "    ax[image_n].set_xticks([])\n",
    "    ax[image_n].set_yticks([])\n",
    "    ax[image_n].set_ylabel(f\"Epoch {val_samples[image_n]:.0f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9a364126",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2)\n",
    "ax[0].imshow(images[0, 0].detach().cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "ax[0].axis(\"off\")\n",
    "ax[0].title.set_text(\"Inputted Image\")\n",
    "ax[1].imshow(reconstruction[0, 0].detach().cpu(), vmin=0, vmax=1, cmap=\"gray\")\n",
    "ax[1].axis(\"off\")\n",
    "ax[1].title.set_text(\"Reconstruction\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25d53d14",
   "metadata": {},
   "source": [
    "### Cleanup data directory\n",
    "\n",
    "Remove directory if a temporary was used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "20b1e100",
   "metadata": {},
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
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